3166 LiDAR based georeferencing of and integration with in-mine 3-D Ground Penetrating Radar data

Authors

DOI:

https://doi.org/10.17159/

Abstract

The South African mining industry has committed to achieving zero harm for its workforce, with a strong emphasis on worker health and safety. Among the major safety concerns are falls-of-ground, a leading cause of injuries and fatalities. Ground Penetrating Radar, a non-destructive geophysical method, is recognised for its ability to image structures, fractures, and geological features within the rock mass. However, Ground Penetrating Radar data is often acquired in local coordinates, posing challenges for visualisation in mine Computer-Aided Design or 3-dimensional visualisation software. This study explores the pivotal role of Light Detection and Ranging data in transforming Ground Penetrating Radar data from local survey coordinates to absolute mine coordinates. A comprehensive georeferencing methodology is presented, providing the stepwise progression from the initial georeferencing of Ground Penetrating Radar data to the ultimate integration of Ground Penetrating Radar and Light Detection and Ranging datasets, resulting in the creation of a Ground Penetrating Radar-Light Detection and Ranging 3-dimensional model. The proposed approach not only facilitates the integration, but also offers a practical means of visualising the integrated datasets within commonly used Computer-Aided Design or 3-dimensional visualisation software. An essential aspect of this integration is the adoption of non-proprietary data formats, specifically American Standard Code for Information Interchange text files, ensuring broader accessibility and compatibility. The potential for integrating diverse datasets to construct insightful models of the underground mining environment is illustrated. Integration of different datasets has the potential to offer a holistic understanding of the mining environment, providing essential information to decision-makers.

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Author Biographies

  • Thabang Kgarume, Council for Scientific and Industrial Research (CSIR)
    Senior Geophysicist: CSIR Mining Cluster
  • Michael Van Schoor, Council for Scientific and Industrial Research (CSIR)
    Principal Geophysicist: CSIR Mining Cluster
  • Mvikeli Mpofu, Council for Scientific and Industrial Research (CSIR)
    Mining Engineer: CSIR Mining Cluster
  • Hennie Grobler, University of Johannesburg (UJ)
    Head of Department: Mining Engineering & Mine Surveying

Published

2026-04-15

Issue

Section

Papers of General Interest